Le rapport de la data frame movies

Dataset statistics

Number of variables	28
Number of observations	5043
Missing cells	2405
Missing cells (%)	1.7%
Duplicate rows	37
Duplicate rows (%)	0.7%
Total size in memory	1.1 MiB
Average record size in memory	224.0 B

Variable types

Categorical	12
Numeric	16

Alerts

Dataset has 37 (0.7%) duplicate rows	Duplicates
`director_name` has a high cardinality: 2398 distinct values	High cardinality
`actor_2_name` has a high cardinality: 3032 distinct values	High cardinality
`genres` has a high cardinality: 914 distinct values	High cardinality
`actor_1_name` has a high cardinality: 2097 distinct values	High cardinality
`movie_title` has a high cardinality: 4917 distinct values	High cardinality
`actor_3_name` has a high cardinality: 3521 distinct values	High cardinality
`plot_keywords` has a high cardinality: 4760 distinct values	High cardinality
`movie_imdb_link` has a high cardinality: 4919 distinct values	High cardinality
`country` has a high cardinality: 65 distinct values	High cardinality
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`actor_3_fb_likes` is highly correlated with `actor_1_fb_likes` and 2 other fields	High correlation
`actor_1_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`gross` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`budget` is highly correlated with `gross` and 1 other fields	High correlation
`actor_2_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`actor_3_fb_likes` is highly correlated with `actor_2_fb_likes`	High correlation
`actor_1_fb_likes` is highly correlated with `cast_total_fb_likes`	High correlation
`gross` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_fb_likes` is highly correlated with `actor_1_fb_likes` and 1 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`actor_2_fb_likes` is highly correlated with `actor_3_fb_likes` and 1 other fields	High correlation
`movie_fb_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`actor_3_fb_likes` is highly correlated with `cast_total_fb_likes` and 1 other fields	High correlation
`actor_1_fb_likes` is highly correlated with `cast_total_fb_likes` and 1 other fields	High correlation
`gross` is highly correlated with `num_voted_users`	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`cast_total_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`actor_2_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`country` is highly correlated with `language`	High correlation
`language` is highly correlated with `country`	High correlation
`color` is highly correlated with `title_year`	High correlation
`num_critic_for_reviews` is highly correlated with `gross` and 3 other fields	High correlation
`duration` is highly correlated with `language` and 2 other fields	High correlation
`actor_3_fb_likes` is highly correlated with `gross` and 2 other fields	High correlation
`actor_1_fb_likes` is highly correlated with `cast_total_fb_likes`	High correlation
`gross` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`cast_total_fb_likes` is highly correlated with `actor_3_fb_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`language` is highly correlated with `duration` and 2 other fields	High correlation
`country` is highly correlated with `duration` and 2 other fields	High correlation
`content_rating` is highly correlated with `duration` and 2 other fields	High correlation
`budget` is highly correlated with `language` and 1 other fields	High correlation
`title_year` is highly correlated with `color` and 1 other fields	High correlation
`actor_2_fb_likes` is highly correlated with `cast_total_fb_likes`	High correlation
`imdb_score` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`aspect_ratio` is highly correlated with `content_rating`	High correlation
`movie_fb_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`director_name` has 104 (2.1%) missing values	Missing
`director_fb_likes` has 104 (2.1%) missing values	Missing
`gross` has 677 (13.4%) missing values	Missing
`plot_keywords` has 153 (3.0%) missing values	Missing
`content_rating` has 303 (6.0%) missing values	Missing
`budget` has 406 (8.1%) missing values	Missing
`title_year` has 108 (2.1%) missing values	Missing
`aspect_ratio` has 329 (6.5%) missing values	Missing
`budget` is highly skewed (γ1 = 48.57751667)	Skewed
`movie_title` is uniformly distributed	Uniform
`actor_3_name` is uniformly distributed	Uniform
`plot_keywords` is uniformly distributed	Uniform
`movie_imdb_link` is uniformly distributed	Uniform
`director_fb_likes` has 907 (18.0%) zeros	Zeros
`actor_3_fb_likes` has 89 (1.8%) zeros	Zeros
`facenumber_in_poster` has 2152 (42.7%) zeros	Zeros
`actor_2_fb_likes` has 55 (1.1%) zeros	Zeros
`movie_fb_likes` has 2181 (43.2%) zeros	Zeros

Reproduction

Analysis started	2022-01-14 01:03:22.794886
Analysis finished	2022-01-14 01:04:05.607387
Duration	42.81 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

color
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	19
Missing (%)	0.4%
Memory size	39.5 KiB

Color	4815
Black and White	209

Length

Max length	16
Median length	5
Mean length	5.457603503
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Color
2nd row	Color
3rd row	Color
4th row	Color
5th row	Color

Common Values

Value	Count	Frequency (%)
Color	4815	95.5%
Black and White	209	4.1%
(Missing)	19	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
color	4815	88.5%
white	209	3.8%
and	209	3.8%
black	209	3.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

director_name
Categorical

HIGH CARDINALITY
MISSING

Distinct	2398
Distinct (%)	48.6%
Missing	104
Missing (%)	2.1%
Memory size	39.5 KiB

Steven Spielberg	26
Woody Allen	22
Clint Eastwood	20
Martin Scorsese	20
Ridley Scott	17
Other values (2393)	4834

Length

Max length	32
Median length	13
Mean length	13.08483499
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1504 ?
Unique (%)	30.5%

Sample

1st row	James Cameron
2nd row	Gore Verbinski
3rd row	Sam Mendes
4th row	Christopher Nolan
5th row	Doug Walker

Common Values

Value	Count	Frequency (%)
Steven Spielberg	26	0.5%
Woody Allen	22	0.4%
Clint Eastwood	20	0.4%
Martin Scorsese	20	0.4%
Ridley Scott	17	0.3%
Spike Lee	16	0.3%
Tim Burton	16	0.3%
Steven Soderbergh	16	0.3%
Renny Harlin	15	0.3%
Oliver Stone	14	0.3%
Other values (2388)	4757	94.3%
(Missing)	104	2.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	180	1.8%
david	150	1.5%
michael	127	1.2%
james	87	0.8%
peter	85	0.8%
robert	84	0.8%
paul	81	0.8%
richard	80	0.8%
scott	65	0.6%
lee	58	0.6%
Other values (2966)	9277	90.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num_critic_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	528
Distinct (%)	10.6%
Missing	50
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.194272

Minimum	1
Maximum	813
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	50
median	110
Q3	195
95-th percentile	387
Maximum	813
Range	812
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	121.6016754
Coefficient of variation (CV)	0.8673797701
Kurtosis	2.91341641
Mean	140.194272
Median Absolute Deviation (MAD)	68
Skewness	1.5165327
Sum	699990
Variance	14786.96746
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	43	0.9%
9	37	0.7%
5	36	0.7%
10	35	0.7%
8	35	0.7%
12	34	0.7%
81	33	0.7%
16	33	0.7%
43	31	0.6%
29	30	0.6%
Other values (518)	4646	92.1%
(Missing)	50	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	43	0.9%
2	26	0.5%
3	24	0.5%
4	29	0.6%
5	36	0.7%
6	28	0.6%
7	23	0.5%
8	35	0.7%
9	37	0.7%
10	35	0.7%

Value	Count	Frequency (%)
813	1	< 0.1%
775	1	< 0.1%
765	1	< 0.1%
750	2	< 0.1%
739	1	< 0.1%
738	1	< 0.1%
733	1	< 0.1%
723	1	< 0.1%
712	1	< 0.1%
703	2	< 0.1%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	191
Distinct (%)	3.8%
Missing	15
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	107.201074

Minimum	7
Maximum	511
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	7
5-th percentile	81
Q1	93
median	103
Q3	118
95-th percentile	146
Maximum	511
Range	504
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	25.19744081
Coefficient of variation (CV)	0.235048399
Kurtosis	22.56579716
Mean	107.201074
Median Absolute Deviation (MAD)	12
Skewness	2.339134041
Sum	539007
Variance	634.9110233
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	161	3.2%
100	141	2.8%
101	139	2.8%
98	135	2.7%
97	131	2.6%
93	129	2.6%
95	124	2.5%
99	124	2.5%
94	124	2.5%
96	113	2.2%
Other values (181)	3707	73.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	2	< 0.1%
11	1	< 0.1%
14	1	< 0.1%
20	1	< 0.1%
22	7	0.1%
23	2	< 0.1%
24	2	< 0.1%
25	4	0.1%
27	1	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
511	1	< 0.1%
334	1	< 0.1%
330	1	< 0.1%
325	1	< 0.1%
300	1	< 0.1%
293	1	< 0.1%
289	1	< 0.1%
286	1	< 0.1%
280	1	< 0.1%
271	1	< 0.1%

director_fb_likes
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	435
Distinct (%)	8.8%
Missing	104
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	686.5092124

Minimum	0
Maximum	23000
Zeros	907
Zeros (%)	18.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	49
Q3	194.5
95-th percentile	973
Maximum	23000
Range	23000
Interquartile range (IQR)	187.5

Descriptive statistics

Standard deviation	2813.328607
Coefficient of variation (CV)	4.098020181
Kurtosis	27.25628935
Mean	686.5092124
Median Absolute Deviation (MAD)	49
Skewness	5.22970117
Sum	3390669
Variance	7914817.85
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	907	18.0%
3	70	1.4%
6	66	1.3%
7	64	1.3%
2	63	1.2%
4	60	1.2%
11	59	1.2%
10	53	1.1%
8	52	1.0%
5	52	1.0%
Other values (425)	3493	69.3%
(Missing)	104	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	907	18.0%
2	63	1.2%
3	70	1.4%
4	60	1.2%
5	52	1.0%
6	66	1.3%
7	64	1.3%
8	52	1.0%
9	49	1.0%
10	53	1.1%

Value	Count	Frequency (%)
23000	1	< 0.1%
22000	8	0.2%
21000	10	0.2%
20000	1	< 0.1%
18000	4	0.1%
17000	20	0.4%
16000	28	0.6%
15000	2	< 0.1%
14000	30	0.6%
13000	26	0.5%

actor_3_fb_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	906
Distinct (%)	18.0%
Missing	23
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	645.009761

Minimum	0
Maximum	23000
Zeros	89
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	133
median	371.5
Q3	636
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	503

Descriptive statistics

Standard deviation	1665.041728
Coefficient of variation (CV)	2.581420979
Kurtosis	60.56388811
Mean	645.009761
Median Absolute Deviation (MAD)	248.5
Skewness	7.279020793
Sum	3237949
Variance	2772363.957
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	126	2.5%
0	89	1.8%
11000	29	0.6%
3	28	0.6%
2000	27	0.5%
3000	26	0.5%
826	22	0.4%
2	21	0.4%
4	21	0.4%
7	21	0.4%
Other values (896)	4610	91.4%
(Missing)	23	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89	1.8%
2	21	0.4%
3	28	0.6%
4	21	0.4%
5	18	0.4%
6	18	0.4%
7	21	0.4%
8	17	0.3%
9	16	0.3%
10	12	0.2%

Value	Count	Frequency (%)
23000	2	< 0.1%
20000	1	< 0.1%
19000	5	0.1%
17000	1	< 0.1%
16000	3	0.1%
15000	1	< 0.1%
14000	6	0.1%
13000	5	0.1%
12000	8	0.2%
11000	29	0.6%

actor_2_name
Categorical

HIGH CARDINALITY

Distinct	3032
Distinct (%)	60.3%
Missing	13
Missing (%)	0.3%
Memory size	39.5 KiB

Morgan Freeman	20
Charlize Theron	15
Brad Pitt	14
Meryl Streep	11
James Franco	11
Other values (3027)	4959

Length

Max length	28
Median length	13
Mean length	13.07435388
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2089 ?
Unique (%)	41.5%

Sample

1st row	Joel David Moore
2nd row	Orlando Bloom
3rd row	Rory Kinnear
4th row	Christian Bale
5th row	Rob Walker

Common Values

Value	Count	Frequency (%)
Morgan Freeman	20	0.4%
Charlize Theron	15	0.3%
Brad Pitt	14	0.3%
Meryl Streep	11	0.2%
James Franco	11	0.2%
Jason Flemyng	10	0.2%
Adam Sandler	10	0.2%
Bruce Willis	9	0.2%
Robert Duvall	9	0.2%
Angelina Jolie Pitt	9	0.2%
Other values (3022)	4912	97.4%
(Missing)	13	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	102	1.0%
david	60	0.6%
john	56	0.5%
james	53	0.5%
scott	52	0.5%
tom	50	0.5%
jason	44	0.4%
robert	44	0.4%
kevin	41	0.4%
thomas	39	0.4%
Other values (3825)	9861	94.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

actor_1_fb_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	878
Distinct (%)	17.4%
Missing	7
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	6560.047061

Minimum	0
Maximum	640000
Zeros	26
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	95.5
Q1	614
median	988
Q3	11000
95-th percentile	24000
Maximum	640000
Range	640000
Interquartile range (IQR)	10386

Descriptive statistics

Standard deviation	15020.75912
Coefficient of variation (CV)	2.289733439
Kurtosis	683.5473559
Mean	6560.047061
Median Absolute Deviation (MAD)	752.5
Skewness	19.12177638
Sum	33036397
Variance	225623204.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	449	8.9%
11000	211	4.2%
2000	197	3.9%
3000	155	3.1%
12000	135	2.7%
13000	127	2.5%
14000	123	2.4%
10000	112	2.2%
18000	109	2.2%
22000	82	1.6%
Other values (868)	3336	66.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26	0.5%
2	8	0.2%
3	4	0.1%
4	2	< 0.1%
5	7	0.1%
6	3	0.1%
7	3	0.1%
8	1	< 0.1%
9	3	0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
640000	1	< 0.1%
260000	3	0.1%
164000	2	< 0.1%
137000	2	< 0.1%
87000	8	0.2%
77000	1	< 0.1%
49000	27	0.5%
46000	1	< 0.1%
45000	5	0.1%
44000	2	< 0.1%

gross
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4224
Distinct (%)	96.7%
Missing	677
Missing (%)	13.4%
Infinite	0
Infinite (%)	0.0%
Mean	46720940.5

Minimum	162
Maximum	760505847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	162
5-th percentile	59477.75
Q1	4587414.5
median	24004159
Q3	59548719.5
95-th percentile	177318686.5
Maximum	760505847
Range	760505685
Interquartile range (IQR)	54961305

Descriptive statistics

Standard deviation	67365553.29
Coefficient of variation (CV)	1.441870659
Kurtosis	15.48153103
Mean	46720940.5
Median Absolute Deviation (MAD)	22300451
Skewness	3.192180098
Sum	2.039836262 × 10¹¹
Variance	4.538117771 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000000	4	0.1%
177343675	3	0.1%
8000000	3	0.1%
47000000	3	0.1%
26410477	3	0.1%
5773519	3	0.1%
218051260	3	0.1%
34964818	3	0.1%
144512310	3	0.1%
7000000	3	0.1%
Other values (4214)	4335	86.0%
(Missing)	677	13.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
162	1	< 0.1%
423	1	< 0.1%
607	1	< 0.1%
703	1	< 0.1%
721	1	< 0.1%
728	1	< 0.1%
828	1	< 0.1%
1029	1	< 0.1%
1036	1	< 0.1%
1100	1	< 0.1%

Value	Count	Frequency (%)
760505847	1	< 0.1%
658672302	1	< 0.1%
652177271	1	< 0.1%
623279547	2	< 0.1%
533316061	1	< 0.1%
474544677	1	< 0.1%
460935665	1	< 0.1%
458991599	1	< 0.1%
448130642	1	< 0.1%
436471036	1	< 0.1%

genres
Categorical

HIGH CARDINALITY

Distinct	914
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Memory size	39.5 KiB

Drama	236
Comedy	209
Comedy\|Drama	191
Comedy\|Drama\|Romance	187
Comedy\|Romance	158
Other values (909)	4062

Length

Max length	64
Median length	20
Mean length	20.31310728
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	495 ?
Unique (%)	9.8%

Sample

1st row	Action\|Adventure\|Fantasy\|Sci-Fi
2nd row	Action\|Adventure\|Fantasy
3rd row	Action\|Adventure\|Thriller
4th row	Action\|Thriller
5th row	Documentary

Common Values

Value	Count	Frequency (%)
Drama	236	4.7%
Comedy	209	4.1%
Comedy\|Drama	191	3.8%
Comedy\|Drama\|Romance	187	3.7%
Comedy\|Romance	158	3.1%
Drama\|Romance	152	3.0%
Crime\|Drama\|Thriller	101	2.0%
Horror	71	1.4%
Action\|Crime\|Drama\|Thriller	68	1.3%
Action\|Crime\|Thriller	65	1.3%
Other values (904)	3605	71.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	236	4.7%
comedy	209	4.1%
comedy\|drama	191	3.8%
comedy\|drama\|romance	187	3.7%
comedy\|romance	158	3.1%
drama\|romance	152	3.0%
crime\|drama\|thriller	101	2.0%
horror	71	1.4%
action\|crime\|drama\|thriller	68	1.3%
action\|crime\|thriller	65	1.3%
Other values (904)	3605	71.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

actor_1_name
Categorical

HIGH CARDINALITY

Distinct	2097
Distinct (%)	41.6%
Missing	7
Missing (%)	0.1%
Memory size	39.5 KiB

Robert De Niro	49
Johnny Depp	41
Nicolas Cage	33
J.K. Simmons	31
Bruce Willis	30
Other values (2092)	4852

Length

Max length	27
Median length	13
Mean length	13.19241461
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1360 ?
Unique (%)	27.0%

Sample

1st row	CCH Pounder
2nd row	Johnny Depp
3rd row	Christoph Waltz
4th row	Tom Hardy
5th row	Doug Walker

Common Values

Value	Count	Frequency (%)
Robert De Niro	49	1.0%
Johnny Depp	41	0.8%
Nicolas Cage	33	0.7%
J.K. Simmons	31	0.6%
Bruce Willis	30	0.6%
Denzel Washington	30	0.6%
Matt Damon	30	0.6%
Liam Neeson	29	0.6%
Harrison Ford	27	0.5%
Robin Williams	27	0.5%
Other values (2087)	4709	93.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
robert	109	1.0%
tom	93	0.9%
michael	89	0.9%
jason	59	0.6%
de	57	0.5%
james	54	0.5%
bruce	51	0.5%
steve	50	0.5%
jr	49	0.5%
niro	49	0.5%
Other values (2888)	9784	93.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

movie_title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	4917
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	39.5 KiB

Pan	3
King Kong	3
Ben-Hur	3
The Fast and the Furious	3
Halloween	3
Other values (4912)	5028

Length

Max length	87
Median length	15
Mean length	16.54967281
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4798 ?
Unique (%)	95.1%

Sample

1st row	Avatar
2nd row	Pirates of the Caribbean: At World's End
3rd row	Spectre
4th row	The Dark Knight Rises
5th row	Star Wars: Episode VII - The Force Awakens

Common Values

Value	Count	Frequency (%)
Pan	3	0.1%
King Kong	3	0.1%
Ben-Hur	3	0.1%
The Fast and the Furious	3	0.1%
Halloween	3	0.1%
Home	3	0.1%
Victor Frankenstein	3	0.1%
Day of the Dead	2	< 0.1%
Aloha	2	< 0.1%
Halloween II	2	< 0.1%
Other values (4907)	5016	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1606	11.5%
of	483	3.5%
a	193	1.4%
and	150	1.1%
in	123	0.9%
to	107	0.8%
2	104	0.7%
	81	0.6%
man	66	0.5%
love	56	0.4%
Other values (4905)	10987	78.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num_voted_users
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4826
Distinct (%)	95.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83668.16082

Minimum	5
Maximum	1689764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	5
5-th percentile	514.6
Q1	8593.5
median	34359
Q3	96309
95-th percentile	332254.9
Maximum	1689764
Range	1689759
Interquartile range (IQR)	87715.5

Descriptive statistics

Standard deviation	138485.2568
Coefficient of variation (CV)	1.655172714
Kurtosis	24.44552017
Mean	83668.16082
Median Absolute Deviation (MAD)	30816
Skewness	4.029871144
Sum	421938535
Variance	1.917816635 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	5	0.1%
6	4	0.1%
6025	3	0.1%
374	3	0.1%
53	3	0.1%
3119	3	0.1%
62	3	0.1%
162	3	0.1%
2541	3	0.1%
8	3	0.1%
Other values (4816)	5010	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	2	< 0.1%
6	4	0.1%
7	2	< 0.1%
8	3	0.1%
10	1	< 0.1%
13	1	< 0.1%
15	2	< 0.1%
16	1	< 0.1%
18	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
1689764	1	< 0.1%
1676169	1	< 0.1%
1468200	1	< 0.1%
1347461	1	< 0.1%
1324680	1	< 0.1%
1251222	1	< 0.1%
1238746	1	< 0.1%
1217752	1	< 0.1%
1215718	1	< 0.1%
1155770	1	< 0.1%

cast_total_fb_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3978
Distinct (%)	78.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9699.063851

Minimum	0
Maximum	656730
Zeros	33
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	179
Q1	1411
median	3090
Q3	13756.5
95-th percentile	36927.7
Maximum	656730
Range	656730
Interquartile range (IQR)	12345.5

Descriptive statistics

Standard deviation	18163.79912
Coefficient of variation (CV)	1.872737349
Kurtosis	361.2551153
Mean	9699.063851
Median Absolute Deviation (MAD)	2302
Skewness	12.83192773
Sum	48912379
Variance	329923598.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	33	0.7%
5	7	0.1%
2020	6	0.1%
2	6	0.1%
1044	5	0.1%
673	5	0.1%
29	5	0.1%
2321	4	0.1%
1554	4	0.1%
646	4	0.1%
Other values (3968)	4964	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	0.7%
2	6	0.1%
3	1	< 0.1%
4	2	< 0.1%
5	7	0.1%
6	2	< 0.1%
7	1	< 0.1%
8	2	< 0.1%
10	1	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
656730	1	< 0.1%
303717	1	< 0.1%
283939	1	< 0.1%
263584	1	< 0.1%
261818	1	< 0.1%
170118	1	< 0.1%
140268	1	< 0.1%
137712	1	< 0.1%
120797	1	< 0.1%
108016	1	< 0.1%

actor_3_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3521
Distinct (%)	70.1%
Missing	23
Missing (%)	0.5%
Memory size	39.5 KiB

Steve Coogan	8
Ben Mendelsohn	8
John Heard	8
Anne Hathaway	7
Lois Maxwell	7
Other values (3516)	4982

Length

Max length	29
Median length	13
Mean length	13.08227092
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2648 ?
Unique (%)	52.7%

Sample

1st row	Wes Studi
2nd row	Jack Davenport
3rd row	Stephanie Sigman
4th row	Joseph Gordon-Levitt
5th row	Polly Walker

Common Values

Value	Count	Frequency (%)
Steve Coogan	8	0.2%
Ben Mendelsohn	8	0.2%
John Heard	8	0.2%
Anne Hathaway	7	0.1%
Lois Maxwell	7	0.1%
Stephen Root	7	0.1%
Jon Gries	7	0.1%
Robert Duvall	7	0.1%
Sam Shepard	7	0.1%
Kirsten Dunst	7	0.1%
Other values (3511)	4947	98.1%
(Missing)	23	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	86	0.8%
john	80	0.8%
david	70	0.7%
james	69	0.7%
robert	46	0.4%
tom	43	0.4%
paul	42	0.4%
kevin	41	0.4%
peter	38	0.4%
steve	36	0.3%
Other values (4307)	9842	94.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

facenumber_in_poster
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	0.4%
Missing	13
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.371172962

Minimum	0
Maximum	43
Zeros	2152
Zeros (%)	42.7%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	43
Range	43
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.01357592
Coefficient of variation (CV)	1.468506144
Kurtosis	52.03373533
Mean	1.371172962
Median Absolute Deviation (MAD)	1
Skewness	4.384765939
Sum	6897
Variance	4.054487986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	2152	42.7%
1	1251	24.8%
2	716	14.2%
3	380	7.5%
4	207	4.1%
5	114	2.3%
6	76	1.5%
7	48	1.0%
8	37	0.7%
9	18	0.4%
Other values (9)	31	0.6%
(Missing)	13	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2152	42.7%
1	1251	24.8%
2	716	14.2%
3	380	7.5%
4	207	4.1%
5	114	2.3%
6	76	1.5%
7	48	1.0%
8	37	0.7%
9	18	0.4%

Value	Count	Frequency (%)
43	1	< 0.1%
31	1	< 0.1%
19	1	< 0.1%
15	6	0.1%
14	1	< 0.1%
13	2	< 0.1%
12	4	0.1%
11	5	0.1%
10	10	0.2%
9	18	0.4%

plot_keywords
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	4760
Distinct (%)	97.3%
Missing	153
Missing (%)	3.0%
Memory size	39.5 KiB

based on novel	4
eighteen wheeler\|illegal street racing\|truck\|trucker\|undercover cop	3
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3
Other values (4755)	4874

Length

Max length	149
Median length	50
Mean length	52.42699387
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4639 ?
Unique (%)	94.9%

Sample

1st row	avatar\|future\|marine\|native\|paraplegic
2nd row	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore
3rd row	bomb\|espionage\|sequel\|spy\|terrorist
4th row	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot
5th row	alien\|american civil war\|male nipple\|mars\|princess

Common Values

Value	Count	Frequency (%)
based on novel	4	0.1%
eighteen wheeler\|illegal street racing\|truck\|trucker\|undercover cop	3	0.1%
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3	0.1%
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3	0.1%
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3	0.1%
one word title	3	0.1%
halloween\|masked killer\|michael myers\|slasher\|trick or treat	3	0.1%
assistant\|experiment\|frankenstein\|medical student\|scientist	3	0.1%
anti war\|liverpool\|love\|protest\|song	2	< 0.1%
army\|greek mythology\|hercules\|king\|mercenary	2	< 0.1%
Other values (4750)	4861	96.4%
(Missing)	153	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	331	1.8%
of	222	1.2%
on	209	1.2%
the	191	1.1%
a	185	1.0%
to	180	1.0%
york	122	0.7%
based	106	0.6%
female	104	0.6%
by	99	0.5%
Other values (11486)	16269	90.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

movie_imdb_link
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	4919
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	39.5 KiB

http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3
Other values (4914)	5028

Length

Max length	52
Median length	52
Mean length	52
Min length	52

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4802 ?
Unique (%)	95.2%

Sample

1st row	http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1
2nd row	http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1
3rd row	http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1
4th row	http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1
5th row	http://www.imdb.com/title/tt5289954/?ref_=fn_tt_tt_1

Common Values

Value	Count	Frequency (%)
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt4178092/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt0264935/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt0844708/?ref_=fn_tt_tt_1	2	< 0.1%
Other values (4909)	5016	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0872230/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt0056193/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt1742334/?ref_=fn_tt_tt_1	2	< 0.1%
Other values (4909)	5016	99.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num_user_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	954
Distinct (%)	19.0%
Missing	21
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	272.7708084

Minimum	1
Maximum	5060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1
5-th percentile	10
Q1	65
median	156
Q3	326
95-th percentile	907.8
Maximum	5060
Range	5059
Interquartile range (IQR)	261

Descriptive statistics

Standard deviation	377.9828856
Coefficient of variation (CV)	1.385716044
Kurtosis	26.43829739
Mean	272.7708084
Median Absolute Deviation (MAD)	113
Skewness	4.121475159
Sum	1369855
Variance	142871.0618
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	51	1.0%
3	33	0.7%
26	32	0.6%
2	32	0.6%
10	29	0.6%
6	28	0.6%
50	26	0.5%
32	25	0.5%
8	25	0.5%
31	24	0.5%
Other values (944)	4717	93.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	51	1.0%
2	32	0.6%
3	33	0.7%
4	23	0.5%
5	19	0.4%
6	28	0.6%
7	17	0.3%
8	25	0.5%
9	23	0.5%
10	29	0.6%

Value	Count	Frequency (%)
5060	1	< 0.1%
4667	1	< 0.1%
4144	1	< 0.1%
3646	1	< 0.1%
3597	1	< 0.1%
3516	1	< 0.1%
3400	1	< 0.1%
3286	1	< 0.1%
3189	1	< 0.1%
3054	1	< 0.1%

language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	0.9%
Missing	12
Missing (%)	0.2%
Memory size	39.5 KiB

English	4704
French	73
Spanish	40
Hindi	28
Mandarin	26
Other values (42)	160

Length

Max length	10
Median length	7
Mean length	6.980719539
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.4%

Sample

1st row	English
2nd row	English
3rd row	English
4th row	English
5th row	English

Common Values

Value	Count	Frequency (%)
English	4704	93.3%
French	73	1.4%
Spanish	40	0.8%
Hindi	28	0.6%
Mandarin	26	0.5%
German	19	0.4%
Japanese	18	0.4%
Russian	11	0.2%
Cantonese	11	0.2%
Italian	11	0.2%
Other values (37)	90	1.8%
(Missing)	12	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	4704	93.5%
french	73	1.5%
spanish	40	0.8%
hindi	28	0.6%
mandarin	26	0.5%
german	19	0.4%
japanese	18	0.4%
russian	11	0.2%
cantonese	11	0.2%
italian	11	0.2%
Other values (37)	90	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

country
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	65
Distinct (%)	1.3%
Missing	5
Missing (%)	0.1%
Memory size	39.5 KiB

USA	3807
UK	448
France	154
Canada	126
Germany	97
Other values (60)	406

Length

Max length	20
Median length	3
Mean length	3.489281461
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	0.6%

Sample

1st row	USA
2nd row	USA
3rd row	UK
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	3807	75.5%
UK	448	8.9%
France	154	3.1%
Canada	126	2.5%
Germany	97	1.9%
Australia	55	1.1%
India	34	0.7%
Spain	33	0.7%
China	30	0.6%
Japan	23	0.5%
Other values (55)	231	4.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	3807	74.6%
uk	448	8.8%
france	154	3.0%
canada	126	2.5%
germany	100	2.0%
australia	55	1.1%
india	34	0.7%
spain	33	0.6%
china	30	0.6%
japan	23	0.5%
Other values (63)	294	5.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

content_rating
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	0.4%
Missing	303
Missing (%)	6.0%
Memory size	39.5 KiB

R	2118
PG-13	1461
PG	701
Not Rated	116
G	112
Other values (13)	232

Length

Max length	9
Median length	2
Mean length	2.813924051
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	PG-13
2nd row	PG-13
3rd row	PG-13
4th row	PG-13
5th row	PG-13

Common Values

Value	Count	Frequency (%)
R	2118	42.0%
PG-13	1461	29.0%
PG	701	13.9%
Not Rated	116	2.3%
G	112	2.2%
Unrated	62	1.2%
Approved	55	1.1%
TV-14	30	0.6%
TV-MA	20	0.4%
X	13	0.3%
Other values (8)	52	1.0%
(Missing)	303	6.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	2118	43.6%
pg-13	1461	30.1%
pg	701	14.4%
not	116	2.4%
rated	116	2.4%
g	112	2.3%
unrated	62	1.3%
approved	55	1.1%
tv-14	30	0.6%
tv-ma	20	0.4%
Other values (9)	65	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

budget
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	444
Distinct (%)	9.6%
Missing	406
Missing (%)	8.1%
Infinite	0
Infinite (%)	0.0%
Mean	39389277.68

Minimum	218
Maximum	1.22155 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	218
5-th percentile	500000
Q1	6000000
median	20000000
Q3	43000000
95-th percentile	130000000
Maximum	1.22155 × 10¹⁰
Range	1.221549978 × 10¹⁰
Interquartile range (IQR)	37000000

Descriptive statistics

Standard deviation	204247286.3
Coefficient of variation (CV)	5.18535242
Kurtosis	2773.195111
Mean	39389277.68
Median Absolute Deviation (MAD)	16000000
Skewness	48.57751667
Sum	1.826480806 × 10¹¹
Variance	4.171695398 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	179	3.5%
30000000	146	2.9%
15000000	146	2.9%
25000000	143	2.8%
10000000	142	2.8%
40000000	133	2.6%
35000000	121	2.4%
5000000	111	2.2%
50000000	104	2.1%
12000000	96	1.9%
Other values (434)	3316	65.8%
(Missing)	406	8.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
218	1	< 0.1%
1100	1	< 0.1%
1400	1	< 0.1%
3250	1	< 0.1%
4500	1	< 0.1%
7000	3	0.1%
9000	1	< 0.1%
10000	3	0.1%
13000	1	< 0.1%
14000	1	< 0.1%

Value	Count	Frequency (%)
1.22155 × 10¹⁰	1	< 0.1%
4200000000	1	< 0.1%
2500000000	1	< 0.1%
2400000000	1	< 0.1%
2127519898	1	< 0.1%
1100000000	1	< 0.1%
1000000000	1	< 0.1%
700000000	2	< 0.1%
600000000	1	< 0.1%
553632000	1	< 0.1%

title_year
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	91
Distinct (%)	1.8%
Missing	108
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	2002.470517

Minimum	1916
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1916
5-th percentile	1979
Q1	1999
median	2005
Q3	2011
95-th percentile	2015
Maximum	2016
Range	100
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	12.47459892
Coefficient of variation (CV)	0.006229604289
Kurtosis	7.439212616
Mean	2002.470517
Median Absolute Deviation (MAD)	6
Skewness	-2.29227335
Sum	9882192
Variance	155.6156182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2009	260	5.2%
2014	252	5.0%
2006	239	4.7%
2013	237	4.7%
2010	230	4.6%
2015	226	4.5%
2008	225	4.5%
2011	225	4.5%
2005	221	4.4%
2012	221	4.4%
Other values (81)	2599	51.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1916	1	< 0.1%
1920	1	< 0.1%
1925	1	< 0.1%
1927	1	< 0.1%
1929	2	< 0.1%
1930	1	< 0.1%
1932	1	< 0.1%
1933	2	< 0.1%
1934	1	< 0.1%
1935	1	< 0.1%

Value	Count	Frequency (%)
2016	106	2.1%
2015	226	4.5%
2014	252	5.0%
2013	237	4.7%
2012	221	4.4%
2011	225	4.5%
2010	230	4.6%
2009	260	5.2%
2008	225	4.5%
2007	204	4.0%

actor_2_fb_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	917
Distinct (%)	18.2%
Missing	13
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	1651.754473

Minimum	0
Maximum	137000
Zeros	55
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	26
Q1	281
median	595
Q3	918
95-th percentile	11000
Maximum	137000
Range	137000
Interquartile range (IQR)	637

Descriptive statistics

Standard deviation	4042.438863
Coefficient of variation (CV)	2.447360627
Kurtosis	256.7951889
Mean	1651.754473
Median Absolute Deviation (MAD)	317
Skewness	9.884733179
Sum	8308325
Variance	16341311.96
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	309	6.1%
11000	111	2.2%
2000	100	2.0%
3000	76	1.5%
0	55	1.1%
10000	47	0.9%
14000	41	0.8%
13000	40	0.8%
826	37	0.7%
4000	34	0.7%
Other values (907)	4180	82.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	55	1.1%
2	14	0.3%
3	14	0.3%
4	12	0.2%
5	10	0.2%
6	7	0.1%
7	4	0.1%
8	9	0.2%
9	13	0.3%
10	9	0.2%

Value	Count	Frequency (%)
137000	1	< 0.1%
29000	1	< 0.1%
27000	2	< 0.1%
25000	3	0.1%
23000	6	0.1%
22000	11	0.2%
21000	4	0.1%
20000	6	0.1%
19000	7	0.1%
18000	9	0.2%

imdb_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	78
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.442137616

Minimum	1.6
Maximum	9.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1.6
5-th percentile	4.4
Q1	5.8
median	6.6
Q3	7.2
95-th percentile	8.09
Maximum	9.5
Range	7.9
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.125115866
Coefficient of variation (CV)	0.1746494615
Kurtosis	0.9356915064
Mean	6.442137616
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7414713363
Sum	32487.7
Variance	1.265885711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	223	4.4%
6.6	201	4.0%
7.2	195	3.9%
6.5	186	3.7%
6.4	185	3.7%
7.3	184	3.6%
7	184	3.6%
7.1	181	3.6%
6.8	181	3.6%
6.1	179	3.5%
Other values (68)	3144	62.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.6	1	< 0.1%
1.7	1	< 0.1%
1.9	3	0.1%
2	2	< 0.1%
2.1	3	0.1%
2.2	3	0.1%
2.3	3	0.1%
2.4	2	< 0.1%
2.5	2	< 0.1%
2.6	2	< 0.1%

Value	Count	Frequency (%)
9.5	1	< 0.1%
9.3	1	< 0.1%
9.2	1	< 0.1%
9.1	3	0.1%
9	3	0.1%
8.9	5	0.1%
8.8	7	0.1%
8.7	13	0.3%
8.6	15	0.3%
8.5	24	0.5%

aspect_ratio
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	0.5%
Missing	329
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.220403055

Minimum	1.18
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1.18
5-th percentile	1.66
Q1	1.85
median	2.35
Q3	2.35
95-th percentile	2.35
Maximum	16
Range	14.82
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	1.385112535
Coefficient of variation (CV)	0.6238113087
Kurtosis	90.65322055
Mean	2.220403055
Median Absolute Deviation (MAD)	0
Skewness	9.390056312
Sum	10466.98
Variance	1.918536735
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2.35	2360	46.8%
1.85	1906	37.8%
1.78	110	2.2%
1.37	100	2.0%
1.33	68	1.3%
1.66	64	1.3%
16	45	0.9%
2.2	15	0.3%
2.39	15	0.3%
4	7	0.1%
Other values (12)	24	0.5%
(Missing)	329	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.18	1	< 0.1%
1.2	1	< 0.1%
1.33	68	1.3%
1.37	100	2.0%
1.44	1	< 0.1%
1.5	2	< 0.1%
1.66	64	1.3%
1.75	3	0.1%
1.77	1	< 0.1%
1.78	110	2.2%

Value	Count	Frequency (%)
16	45	0.9%
4	7	0.1%
2.76	3	0.1%
2.55	2	< 0.1%
2.4	3	0.1%
2.39	15	0.3%
2.35	2360	46.8%
2.24	1	< 0.1%
2.2	15	0.3%
2	5	0.1%

movie_fb_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	876
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7525.964505

Minimum	0
Maximum	349000
Zeros	2181
Zeros (%)	43.2%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	166
Q3	3000
95-th percentile	40000
Maximum	349000
Range	349000
Interquartile range (IQR)	3000

Descriptive statistics

Standard deviation	19320.44511
Coefficient of variation (CV)	2.567171968
Kurtosis	41.33443692
Mean	7525.964505
Median Absolute Deviation (MAD)	166
Skewness	5.05892689
Sum	37953439
Variance	373279599.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2181	43.2%
1000	109	2.2%
11000	83	1.6%
10000	81	1.6%
12000	62	1.2%
13000	58	1.2%
2000	56	1.1%
15000	53	1.1%
14000	50	1.0%
16000	47	0.9%
Other values (866)	2263	44.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2181	43.2%
2	2	< 0.1%
3	1	< 0.1%
4	5	0.1%
5	2	< 0.1%
7	3	0.1%
8	1	< 0.1%
9	3	0.1%
10	2	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
349000	1	< 0.1%
199000	1	< 0.1%
197000	1	< 0.1%
191000	1	< 0.1%
190000	1	< 0.1%
175000	1	< 0.1%
166000	1	< 0.1%
165000	1	< 0.1%
164000	1	< 0.1%
153000	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	color	director_name	num_critic_for_reviews	duration	director_fb_likes	actor_3_fb_likes	actor_2_name	actor_1_fb_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_fb_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_fb_likes	imdb_score	aspect_ratio	movie_fb_likes
0	Color	James Cameron	723.0	178.0	0.0	855.0	Joel David Moore	1000.0	760505847.0	Action\|Adventure\|Fantasy\|Sci-Fi	CCH Pounder	Avatar	886204	4834	Wes Studi	0.0	avatar\|future\|marine\|native\|paraplegic	http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1	3054.0	English	USA	PG-13	237000000.0	2009.0	936.0	7.9	1.78	33000
1	Color	Gore Verbinski	302.0	169.0	563.0	1000.0	Orlando Bloom	40000.0	309404152.0	Action\|Adventure\|Fantasy	Johnny Depp	Pirates of the Caribbean: At World's End	471220	48350	Jack Davenport	0.0	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore	http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1	1238.0	English	USA	PG-13	300000000.0	2007.0	5000.0	7.1	2.35	0
2	Color	Sam Mendes	602.0	148.0	0.0	161.0	Rory Kinnear	11000.0	200074175.0	Action\|Adventure\|Thriller	Christoph Waltz	Spectre	275868	11700	Stephanie Sigman	1.0	bomb\|espionage\|sequel\|spy\|terrorist	http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1	994.0	English	UK	PG-13	245000000.0	2015.0	393.0	6.8	2.35	85000
3	Color	Christopher Nolan	813.0	164.0	22000.0	23000.0	Christian Bale	27000.0	448130642.0	Action\|Thriller	Tom Hardy	The Dark Knight Rises	1144337	106759	Joseph Gordon-Levitt	0.0	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot	http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1	2701.0	English	USA	PG-13	250000000.0	2012.0	23000.0	8.5	2.35	164000
4	NaN	Doug Walker	NaN	NaN	131.0	NaN	Rob Walker	131.0	NaN	Documentary	Doug Walker	Star Wars: Episode VII - The Force Awakens	8	143	NaN	0.0	NaN	http://www.imdb.com/title/tt5289954/?ref_=fn_tt_tt_1	NaN	NaN	NaN	NaN	NaN	NaN	12.0	7.1	NaN	0
5	Color	Andrew Stanton	462.0	132.0	475.0	530.0	Samantha Morton	640.0	73058679.0	Action\|Adventure\|Sci-Fi	Daryl Sabara	John Carter	212204	1873	Polly Walker	1.0	alien\|american civil war\|male nipple\|mars\|princess	http://www.imdb.com/title/tt0401729/?ref_=fn_tt_tt_1	738.0	English	USA	PG-13	263700000.0	2012.0	632.0	6.6	2.35	24000
6	Color	Sam Raimi	392.0	156.0	0.0	4000.0	James Franco	24000.0	336530303.0	Action\|Adventure\|Romance	J.K. Simmons	Spider-Man 3	383056	46055	Kirsten Dunst	0.0	sandman\|spider man\|symbiote\|venom\|villain	http://www.imdb.com/title/tt0413300/?ref_=fn_tt_tt_1	1902.0	English	USA	PG-13	258000000.0	2007.0	11000.0	6.2	2.35	0
7	Color	Nathan Greno	324.0	100.0	15.0	284.0	Donna Murphy	799.0	200807262.0	Adventure\|Animation\|Comedy\|Family\|Fantasy\|Musical\|Romance	Brad Garrett	Tangled	294810	2036	M.C. Gainey	1.0	17th century\|based on fairy tale\|disney\|flower\|tower	http://www.imdb.com/title/tt0398286/?ref_=fn_tt_tt_1	387.0	English	USA	PG	260000000.0	2010.0	553.0	7.8	1.85	29000
8	Color	Joss Whedon	635.0	141.0	0.0	19000.0	Robert Downey Jr.	26000.0	458991599.0	Action\|Adventure\|Sci-Fi	Chris Hemsworth	Avengers: Age of Ultron	462669	92000	Scarlett Johansson	4.0	artificial intelligence\|based on comic book\|captain america\|marvel cinematic universe\|superhero	http://www.imdb.com/title/tt2395427/?ref_=fn_tt_tt_1	1117.0	English	USA	PG-13	250000000.0	2015.0	21000.0	7.5	2.35	118000
9	Color	David Yates	375.0	153.0	282.0	10000.0	Daniel Radcliffe	25000.0	301956980.0	Adventure\|Family\|Fantasy\|Mystery	Alan Rickman	Harry Potter and the Half-Blood Prince	321795	58753	Rupert Grint	3.0	blood\|book\|love\|potion\|professor	http://www.imdb.com/title/tt0417741/?ref_=fn_tt_tt_1	973.0	English	UK	PG	250000000.0	2009.0	11000.0	7.5	2.35	10000

Last rows

	color	director_name	num_critic_for_reviews	duration	director_fb_likes	actor_3_fb_likes	actor_2_name	actor_1_fb_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_fb_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_fb_likes	imdb_score	aspect_ratio	movie_fb_likes
5033	Color	Shane Carruth	143.0	77.0	291.0	8.0	David Sullivan	291.0	424760.0	Drama\|Sci-Fi\|Thriller	Shane Carruth	Primer	72639	368	Casey Gooden	0.0	changing the future\|independent film\|invention\|nonlinear timeline\|time travel	http://www.imdb.com/title/tt0390384/?ref_=fn_tt_tt_1	371.0	English	USA	PG-13	7000.0	2004.0	45.0	7.0	1.85	19000
5034	Color	Neill Dela Llana	35.0	80.0	0.0	0.0	Edgar Tancangco	0.0	70071.0	Thriller	Ian Gamazon	Cavite	589	0	Quynn Ton	0.0	jihad\|mindanao\|philippines\|security guard\|squatter	http://www.imdb.com/title/tt0428303/?ref_=fn_tt_tt_1	35.0	English	Philippines	Not Rated	7000.0	2005.0	0.0	6.3	NaN	74
5035	Color	Robert Rodriguez	56.0	81.0	0.0	6.0	Peter Marquardt	121.0	2040920.0	Action\|Crime\|Drama\|Romance\|Thriller	Carlos Gallardo	El Mariachi	52055	147	Consuelo Gómez	0.0	assassin\|death\|guitar\|gun\|mariachi	http://www.imdb.com/title/tt0104815/?ref_=fn_tt_tt_1	130.0	Spanish	USA	R	7000.0	1992.0	20.0	6.9	1.37	0
5036	Color	Anthony Vallone	NaN	84.0	2.0	2.0	John Considine	45.0	NaN	Crime\|Drama	Richard Jewell	The Mongol King	36	93	Sara Stepnicka	0.0	jewell\|mongol\|nostradamus\|stepnicka\|vallone	http://www.imdb.com/title/tt0430371/?ref_=fn_tt_tt_1	1.0	English	USA	PG-13	3250.0	2005.0	44.0	7.8	NaN	4
5037	Color	Edward Burns	14.0	95.0	0.0	133.0	Caitlin FitzGerald	296.0	4584.0	Comedy\|Drama	Kerry Bishé	Newlyweds	1338	690	Daniella Pineda	1.0	written and directed by cast member	http://www.imdb.com/title/tt1880418/?ref_=fn_tt_tt_1	14.0	English	USA	Not Rated	9000.0	2011.0	205.0	6.4	NaN	413
5038	Color	Scott Smith	1.0	87.0	2.0	318.0	Daphne Zuniga	637.0	NaN	Comedy\|Drama	Eric Mabius	Signed Sealed Delivered	629	2283	Crystal Lowe	2.0	fraud\|postal worker\|prison\|theft\|trial	http://www.imdb.com/title/tt3000844/?ref_=fn_tt_tt_1	6.0	English	Canada	NaN	NaN	2013.0	470.0	7.7	NaN	84
5039	Color	NaN	43.0	43.0	NaN	319.0	Valorie Curry	841.0	NaN	Crime\|Drama\|Mystery\|Thriller	Natalie Zea	The Following	73839	1753	Sam Underwood	1.0	cult\|fbi\|hideout\|prison escape\|serial killer	http://www.imdb.com/title/tt2071645/?ref_=fn_tt_tt_1	359.0	English	USA	TV-14	NaN	NaN	593.0	7.5	16.00	32000
5040	Color	Benjamin Roberds	13.0	76.0	0.0	0.0	Maxwell Moody	0.0	NaN	Drama\|Horror\|Thriller	Eva Boehnke	A Plague So Pleasant	38	0	David Chandler	0.0	NaN	http://www.imdb.com/title/tt2107644/?ref_=fn_tt_tt_1	3.0	English	USA	NaN	1400.0	2013.0	0.0	6.3	NaN	16
5041	Color	Daniel Hsia	14.0	100.0	0.0	489.0	Daniel Henney	946.0	10443.0	Comedy\|Drama\|Romance	Alan Ruck	Shanghai Calling	1255	2386	Eliza Coupe	5.0	NaN	http://www.imdb.com/title/tt2070597/?ref_=fn_tt_tt_1	9.0	English	USA	PG-13	NaN	2012.0	719.0	6.3	2.35	660
5042	Color	Jon Gunn	43.0	90.0	16.0	16.0	Brian Herzlinger	86.0	85222.0	Documentary	John August	My Date with Drew	4285	163	Jon Gunn	0.0	actress name in title\|crush\|date\|four word title\|video camera	http://www.imdb.com/title/tt0378407/?ref_=fn_tt_tt_1	84.0	English	USA	PG	1100.0	2004.0	23.0	6.6	1.85	456

Most frequently occurring

	color	director_name	num_critic_for_reviews	duration	director_fb_likes	actor_3_fb_likes	actor_2_name	actor_1_fb_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_fb_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_fb_likes	imdb_score	aspect_ratio	movie_fb_likes	# duplicates
0	Black and White	George A. Romero	284.0	96.0	0.0	56.0	Duane Jones	125.0	236452.0	Drama\|Horror\|Mystery	Judith O'Dea	Night of the Living Dead	87978	403	S. William Hinzman	5.0	cemetery\|farmhouse\|radiation\|running out of gas\|zombie	http://www.imdb.com/title/tt0063350/?ref_=fn_tt_tt_1	580.0	English	USA	Unrated	114000.0	1968.0	108.0	8.0	1.85	0	2
1	Black and White	Yimou Zhang	283.0	80.0	611.0	576.0	Tony Chiu Wai Leung	5000.0	84961.0	Action\|Adventure\|History	Jet Li	Hero	149414	6229	Maggie Cheung	4.0	china\|flying\|king\|palace\|sword	http://www.imdb.com/title/tt0299977/?ref_=fn_tt_tt_1	841.0	Mandarin	China	PG-13	31000000.0	2002.0	643.0	7.9	2.35	0	2
2	Color	Albert Hughes	208.0	122.0	117.0	140.0	Jason Flemyng	40000.0	31598308.0	Horror\|Mystery\|Thriller	Johnny Depp	From Hell	124765	41636	Ian Richardson	1.0	freemason\|jack the ripper\|opium\|prostitute\|victorian era	http://www.imdb.com/title/tt0120681/?ref_=fn_tt_tt_1	541.0	English	USA	R	35000000.0	2001.0	1000.0	6.8	2.35	0	2
3	Color	Angelina Jolie Pitt	322.0	137.0	11000.0	465.0	Jack O'Connell	769.0	115603980.0	Biography\|Drama\|Sport\|War	Finn Wittrock	Unbroken	103589	2938	Alex Russell	0.0	emaciation\|male nudity\|plane crash\|prisoner of war\|torture	http://www.imdb.com/title/tt1809398/?ref_=fn_tt_tt_1	351.0	English	USA	PG-13	65000000.0	2014.0	698.0	7.2	2.35	35000	2
4	Color	Bill Condon	322.0	115.0	386.0	12000.0	Kristen Stewart	21000.0	292298923.0	Adventure\|Drama\|Fantasy\|Romance	Robert Pattinson	The Twilight Saga: Breaking Dawn - Part 2	185394	59177	Taylor Lautner	3.0	battle\|friend\|super strength\|vampire\|vision	http://www.imdb.com/title/tt1673434/?ref_=fn_tt_tt_1	329.0	English	USA	PG-13	120000000.0	2012.0	17000.0	5.5	2.35	65000	2
5	Color	Brett Ratner	245.0	101.0	420.0	467.0	Rufus Sewell	12000.0	72660029.0	Action\|Adventure	Dwayne Johnson	Hercules	115687	16235	Ingrid Bolsø Berdal	0.0	army\|greek mythology\|hercules\|king\|mercenary	http://www.imdb.com/title/tt1267297/?ref_=fn_tt_tt_1	269.0	English	USA	PG-13	100000000.0	2014.0	3000.0	6.0	2.35	21000	2
6	Color	Bruce McCulloch	52.0	85.0	54.0	455.0	Megan Mullally	985.0	13973532.0	Comedy\|Crime	Martin Starr	Stealing Harvard	11211	3065	Chris Penn	1.0	black humor\|crying during sex\|harvard\|humor\|man with glasses	http://www.imdb.com/title/tt0265808/?ref_=fn_tt_tt_1	92.0	English	USA	PG-13	25000000.0	2002.0	637.0	5.1	1.85	215	2
7	Color	Danny Boyle	393.0	101.0	0.0	888.0	Spencer Wilding	3000.0	2319187.0	Crime\|Drama\|Mystery\|Thriller	Rosario Dawson	Trance	92640	5056	Tuppence Middleton	0.0	amnesia\|criminal\|heist\|hypnotherapy\|lost painting	http://www.imdb.com/title/tt1924429/?ref_=fn_tt_tt_1	212.0	English	UK	R	20000000.0	2013.0	1000.0	7.0	2.35	23000	2
8	Color	David Yates	248.0	110.0	282.0	103.0	Alexander Skarsgård	11000.0	124051759.0	Action\|Adventure\|Drama\|Romance	Christoph Waltz	The Legend of Tarzan	42372	21175	Casper Crump	2.0	africa\|capture\|jungle\|male objectification\|tarzan	http://www.imdb.com/title/tt0918940/?ref_=fn_tt_tt_1	239.0	English	USA	PG-13	180000000.0	2016.0	10000.0	6.6	2.35	29000	2
9	Color	Frank Oz	168.0	87.0	0.0	548.0	Ewen Bremner	22000.0	8579684.0	Comedy	Peter Dinklage	Death at a Funeral	89547	24324	Kris Marshall	0.0	end credits roll call\|four word title\|funeral\|secret\|uncle	http://www.imdb.com/title/tt0795368/?ref_=fn_tt_tt_1	199.0	English	USA	R	9000000.0	2007.0	557.0	7.4	1.85	0	2

Overview

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